Markus Krebs, Florian Haller, Silvia Spörl, Elena Gerhard-Hartmann, Kirsten Utpatel, Katja Maurus, Volker Kunzmann, Manik Chatterjee, Vivek Venkataramani, Imad Maatouk, Max Bittrich, Tatjana Einwag, Norbert Meidenbauer, Lars Tögel, Daniela Hirsch, Wolfgang Dietmaier, Felix Keil, Alexander Scheiter, Alexander Immel, Daniel Heudobler, Sabine Einhell, Ulrich Kaiser, Anja M. Sedlmeier, Julia Maurer, Gerhard Schenkirsch, Frank Jordan, Maximilian Schmutz, Sebastian Dintner, Andreas Rosenwald, Arndt Hartmann, Matthias Evert, Bruno Märkl, Ralf Bargou, Andreas Mackensen, Matthias W. Beckmann, Tobias Pukrop, Wolfgang Herr, Hermann Einsele, Martin Trepel, Maria-Elisabeth Goebeler, Rainer Claus, Alexander Kerscher, Florian Lüke
- Purpose
Providing Patient Access to Precision Oncology (PO) is a major challenge of clinical oncologists. Here, we provide an easily transferable model from strategic management science to assess the outreach of a cancer center.
Methods
As members of the German WERA alliance, the cancer centers in Würzburg, Erlangen, Regensburg and Augsburg merged care data regarding their geographical impact. Specifically, we examined the provenance of patients from WERA´s molecular tumor boards (MTBs) between 2020 and 2022 (n = 2,243). As second dimension, we added the provenance of patients receiving general cancer care by WERA. Clustering our catchment area along these two dimensions set up a four-quadrant matrix consisting of postal code areas with referrals towards WERA. These areas were re-identified on a map of the Federal State of Bavaria.
Results
The WERA Matrix overlooked an active screening area of 821 postal code areas – representing about 50% of Bavaria´s spatial expansion andPurpose
Providing Patient Access to Precision Oncology (PO) is a major challenge of clinical oncologists. Here, we provide an easily transferable model from strategic management science to assess the outreach of a cancer center.
Methods
As members of the German WERA alliance, the cancer centers in Würzburg, Erlangen, Regensburg and Augsburg merged care data regarding their geographical impact. Specifically, we examined the provenance of patients from WERA´s molecular tumor boards (MTBs) between 2020 and 2022 (n = 2,243). As second dimension, we added the provenance of patients receiving general cancer care by WERA. Clustering our catchment area along these two dimensions set up a four-quadrant matrix consisting of postal code areas with referrals towards WERA. These areas were re-identified on a map of the Federal State of Bavaria.
Results
The WERA Matrix overlooked an active screening area of 821 postal code areas – representing about 50% of Bavaria´s spatial expansion and more than six million inhabitants. The WERA Matrix identified regions successfully connected to our outreach structures in terms of subsidiarity – with general cancer care mainly performed locally but PO performed in collaboration with WERA. We also detected postal code areas with a potential PO backlog – characterized by high levels of cancer care performed by WERA and low levels or no MTB representation.
Conclusions
The WERA Matrix provided a transparent portfolio of postal code areas, which helped assessing the geographical impact of our PO program. We believe that its intuitive principle can easily be transferred to other cancer centers.…
